Job Description : Data Engineering Manager

Role Title : Data Engineering Manager

Experience : 812 Years

Location : Mumbai/Pune/Bangalore/Hyderabad/Chennai - Hybrid

Role Overview :

We are looking for a Data Engineering Manager to lead and drive execution for data engineering initiatives. This role combines technical leadership, delivery ownership, and hands-on data engineering expertise.

The ideal candidate will manage a team of data engineers while actively contributing to data platform development, ensuring successful execution of data pipelines, release deliverables, and stakeholder expectations. This role bridges engineering leadership and hands-on data execution, enabling scalable and reliable data solutions.

Key Responsibilities :

1. Team Leadership & Delivery Execution :

- Lead and manage a team of 810 data engineers.

- Drive sprint execution, planning, and delivery tracking aligned with program release cycles.

- Coordinate cross-functional execution across engineering and product stakeholders.

- Remove delivery blockers and ensure timely completion of milestones.

- Provide technical mentorship and guidance to engineers.

2. Hands-on Data Engineering :

- Contribute directly to development of data pipelines and data workflows (~3050% hands-on).

- Perform data analysis and SQL-based problem solving.

- Design and optimize ETL/ELT pipelines.

- Work with structured and enterprise data sources including SAP systems.

- Support troubleshooting and performance optimization.

3. Data Platform & Engineering Ownership :

- Oversee development and maintenance of scalable data pipelines.

- Ensure adherence to data engineering best practices and coding standards.

- Maintain data quality, reliability, and operational stability.

- Support data migration and integration initiatives.

4. Stakeholder & Program Collaboration :

- Act as the technical interface between engineering teams and program stakeholders.

- Translate business requirements into executable technical tasks.

- Support program release planning and execution readiness.

- Communicate progress, risks, and technical decisions effectively.

Required Technical Skills :

- Strong expertise in SQL and data analysis.

- Experience building and managing ETL pipelines.

- Hands-on experience with :

1. PySpark

2. Postgres SQL or similar RDBMS

3. Azure cloud ecosystem (or equivalent cloud platforms)

- Experience working with enterprise data flows (SAP or similar systems).

- Data warehousing and data modeling fundamentals.

- Strong debugging and performance optimization skills.

Leadership & Functional Skills :

- Experience leading or mentoring engineering teams.

- Ability to manage delivery execution in agile environments.

- Strong stakeholder management and communication skills.

- Experience coordinating across distributed teams.

Preferred Qualifications :

- Experience leading data transformation or migration initiatives.

- Exposure to Databricks or modern lakehouse architectures.

- Prior experience in enterprise-scale data programs.

- Scrum/agile exposure (certification not mandatory).

Education : Bachelors or Masters degree in Computer Science, Engineering, or related field.

Role Success Indicators :

- Stable and predictable delivery of data initiatives.

- Effective management of data engineering team execution.

- High-quality, scalable data pipelines.

- Strong collaboration between technical and program teams.